Job Description
Are you ready to architect the digital reality of tomorrow? Future Systems Inc. is seeking a visionary Lead AI Engineer to spearhead our next-generation research initiatives. In this pivotal role, you won't just be building models; you will be defining the technological roadmap for the year 2026 and beyond. We are looking for a pioneer who thrives on complexity and possesses the foresight to bridge the gap between theoretical AI and practical, scalable application. Join us in building the infrastructure that will power the autonomous economy of the future.
Responsibilities
- Architect and deploy scalable, next-generation Large Language Models (LLMs) for enterprise integration and autonomous agents.
- Lead research initiatives in Generative AI, Computer Vision, and Reinforcement Learning to drive the 2026 roadmap.
- Optimize AI infrastructure for high-throughput, low-latency environments using cutting-edge cloud technologies.
- Collaborate cross-functionally with product, engineering, and design teams to translate complex AI concepts into user-centric solutions.
- Establish best practices for MLOps, data governance, and model explainability.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Evaluate emerging technologies to ensure our stack remains ahead of the industry curve.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Minimum of 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
- Deep understanding of NLP, Transformers, and Deep Learning architectures.
- Experience designing distributed systems and cloud-native applications (AWS, GCP, or Azure).
- Strong track record of shipping production-grade AI products.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.